Data Scientist, AI & MLOps Specialist

Our People and Product are the heartbeat of Push Gaming.

We’ve come a long way from when the company started back in 2010 but we have stayed true to what makes us unique. Our culture and values have developed organically over the years, led by our team who continue to drive the company forward as a market leader in our industry.

We’re an innovative, creative and a fun and friendly group of people who are highly driven to deliver the very best entertainment for players to enjoy!

Today, we continue to create and nurture an environment that offers a high level of trust in our people, along with ownership, opportunities, flexibility and creative freedom.

About Push Gaming

We are a forward-thinking game development studio creating high-quality, mobile-optimised online casino games. We pride ourselves on innovation, a culture of high performance, and a collaborative environment where everyone is empowered to make an impact. We’re building a new generation of gaming experiences, and our data organisation is central to this mission.

The Role

As a Data Scientist, AI & MLOps Specialist, you will be at the heart of our data-driven strategy. This is a highly technical and strategic role where you will be responsible for the end-to-end lifecycle of our data science projects, from initial concept and model development to deployment, monitoring, and ongoing optimization. You will use advanced analytics and AI to drive key business decisions, enhance player engagement, and inform our financial planning.

We are looking for a hands-on expert who can not only build sophisticated models but also establish the robust MLOps practices needed to scale our data science capabilities. This role will have a direct and measurable impact on our product strategy, marketing efficiency, and financial health.

What you'll be doing:

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• Advanced AI/ML Model Development: Design, build, and productionize machine learning models to solve a range of complex business challenges, including:
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  • Predictive modeling for player churn and lifetime value (LTV) forecasting.

    
    

  • Game feature optimization and recommendation engines to enhance player engagement.

    
    

  • Fraud detection and anomaly analysis to ensure platform integrity.

    
    

  • Financial forecasting models for our FP&A (Financial Planning & Analysis) team, focusing on revenue, player acquisition costs, and resource allocation.

    
    
  
  
• MLOps and Automation: Take ownership of the MLOps lifecycle. This includes:
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  • Building automated data and model pipelines for training, testing, and deployment.

    
    

  • Implementing robust monitoring systems to track model performance, data drift, and integrity in a production environment.

    
    

  • Managing model versioning, lineage, and documentation to ensure reproducibility and governance.

    
    

  • Utilizing containerization (Docker, Kubernetes) and CI/CD principles to ensure seamless deployment and scalability.

    
    
  
  
• FP&A Support and Business Insight: Work closely with our finance team to provide data-driven insights that inform our financial strategy. This involves:
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  • Developing and maintaining key financial dashboards and reports.

    
    

  • Building forecasting models for budgets, game performance, and market trends.

    
    

  • Providing strategic analysis to support business cases for new product development and market entry.

    
    
  
  

• Technical Specialization & Leadership: Act as a subject matter expert for AI, ML, and MLOps across the company. You will guide best practices, mentor junior team members, and ensure the technical rigor of all data science initiatives.

  
  

• Collaboration: Partner with game developers, product managers, marketing specialists, and business leaders to understand their challenges and deliver data solutions that directly contribute to their goals.

  
  

What you'll bring to the role:

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• Technical Proficiency:
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  • Deep expertise in Python, including libraries for data science (pandas, scikit-learn, TensorFlow, or PyTorch).

    
    

  • Demonstrated experience in the full MLOps lifecycle, including model deployment, monitoring, and pipeline automation.

    
    

  • Proficiency with cloud platforms (e.g., AWS, GCP, or Azure) and related services for data science.

    
    

  • Strong SQL skills and experience with big data technologies.

    
    
  
  
• Domain Expertise:
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  • Proven experience in financial modeling, forecasting, and working with FP&A or finance teams.

    
    

  • A strong portfolio of data science projects, with a focus on real-world business impact.

    
    
  
  
• General Skills:
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  • Excellent communication and storytelling skills, with the ability to explain complex technical concepts to non-technical stakeholders.

    
    

  • A PhD in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline.

    
    
  
  

Desired Qualifications

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• Experience with MLOps frameworks like MLflow, Kubeflow, or similar.

  
  

• Familiarity with container orchestration tools like Kubernetes.

  
  

• Experience in the gaming or online casino industry.

  
  

• A passion for gaming and an innate curiosity for how players interact with games. 

  
  

Why join us?

It’s a really exciting time to join Push Gaming. We’re expanding our teams to deliver some stellar work.

We are passionate about creating premium quality games and will never compromise on this. The approach we take in building and strengthening our team is no different. We set out to attract and retain high performers and are committed to seeking like-minded individuals who share our vision for excellence and quality.

In turn, we offer all the tools and support to allow individuals to grow and thrive, while achieving both personal and company goals in an environment that’s built around trust, collaboration, transparency and accountability.